Advancing Hate Speech Detection - A Hybrid Approach Using Large Language Models and Graph Neural Networks
Our project, “Advancing Speech Detection: A Hybrid Approach Using Large Language Models and Graph Neural Networks,” receives $400,000 in funding from the NSF. This initiative aims to improve the detection and moderation of hate speech in multilingual contexts to create safer online communities.
Role: PI
Funding Agency: NSF
Program: Computer and Network Systems (CNS)
Total Amount: $400K
Period: 01/2025 - 12/2026